Radboud University Nijmegen, Institute for Water and Wetland Research (IWWR), PO Box 9010, 6500 GL, Nijmegen, The Netherlands.
J Chem Ecol. 2010 Sep;36(9):1006-16. doi: 10.1007/s10886-010-9844-9. Epub 2010 Aug 25.
Plants under attack by aboveground herbivores emit complex blends of volatile organic compounds (VOCs). Specific compounds in these blends are used by parasitic wasps to find their hosts. Belowground induction causes shifts in the composition of aboveground induced VOC blends, which affect the preference of parasitic wasps. To identify which of the many volatiles in the complex VOC blends may explain parasitoid preference poses a challenge to ecologists. Here, we present a case study in which we use a novel bioinformatics approach to identify biologically relevant differences between VOC blends of feral cabbage (Brassica oleracea L.). The plants were induced aboveground or belowground with jasmonic acid (JA) and shoot feeding caterpillars (Pieris brassicae or P. rapae). We used Partial Least Squares--Discriminant Analysis (PLSDA) to integrate and visualize the relation between plant-emitted VOCs and the preference of female Cotesia glomerata. Overall, female wasps preferred JA-induced plants over controls, but they strongly preferred aboveground JA-induced plants over belowground JA-induced plants. PLSDA revealed that the emission of several monoterpenes was enhanced similarly in all JA-treated plants, whereas homoterpenes and sesquiterpenes increased exclusively in aboveground JA-induced plants. Wasps may use the ratio between these two classes of terpenes to discriminate between aboveground and belowground induced plants. Additionally, it shows that aboveground applied JA induces different VOC biosynthetic pathways than JA applied to the root. Our bioinformatic approach, thus, successfully identified which VOCs matched the preferences of the wasps in the various choice tests. Additionally, the analysis generated novel hypotheses about the role of JA as a signaling compound in aboveground and belowground induced responses in plants.
受地上食草动物侵害的植物会释放出复杂的挥发性有机化合物 (VOC) 混合物。这些混合物中的特定化合物被寄生性黄蜂用来寻找它们的宿主。地下诱导会导致地上诱导 VOC 混合物组成的变化,从而影响寄生性黄蜂的偏好。要确定复杂 VOC 混合物中的许多挥发物中哪些可能解释寄生性黄蜂的偏好,这对生态学家来说是一个挑战。在这里,我们提出了一个案例研究,我们使用一种新的生物信息学方法来识别野生甘蓝 (Brassica oleracea L.) VOC 混合物中的生物学相关差异。这些植物用茉莉酸 (JA) 和幼虫取食 (Pieris brassicae 或 P. rapae) 进行地上或地下诱导。我们使用偏最小二乘判别分析 (PLSDA) 来整合和可视化植物排放的 VOC 与雌性 Cotesia glomerata 偏好之间的关系。总体而言,雌性黄蜂更喜欢 JA 诱导的植物而不是对照植物,但它们强烈偏好地上 JA 诱导的植物而不是地下 JA 诱导的植物。PLSDA 显示,几种单萜在所有用 JA 处理的植物中都以相似的方式增强,而同源萜烯和倍半萜烯仅在地上 JA 诱导的植物中增加。黄蜂可能会使用这两类萜烯的比例来区分地上和地下诱导的植物。此外,它表明地上施用的 JA 诱导的 VOC 生物合成途径与施用于根部的 JA 不同。因此,我们的生物信息学方法成功地确定了在各种选择测试中与黄蜂偏好相匹配的 VOC。此外,该分析还产生了关于 JA 作为地上和地下诱导反应中信号化合物的作用的新假设。